您现在所在的位置: 主页  >  CFA考点解析  >  正文

CFA考纲加入Fintech,我们该如何应对?

作者:证凯财经 整理 2018年12月20日 打印 

CFA协会将在2019年CFA I&II考试中加入Fintech。CFA含金量的体现,在于CFA协会对于考纲的把控与时俱进,也高度维持了CFA考试的权威性,因为这套与时俱进的考试体系,保证考生在完成考试时,对于金融行业有着比较全面且前沿的把控。

CFA中的Fintech到底讲了什么?

金融科技Finance and Technology,通常也叫做Fintech,是使用大数据,人工智能,和机器学习等手段来增加我们投资的机会,最优化投资组合,控制风险。金融科技不仅会影响和发展量化投资,也可以帮助fundamental manager去做投资决策。同时,金融科技给distributed ledger technology(DLT) 领域创造了一种记录,跟踪,存储,交易数据的新方法。

2019年CFA一级和二级的Fintech内容是一样的,目的是让二级的同学做一个学习的过度。2020年二级Fintech将修改成正式内容。

Fintech内容在哪里?

CFAI级:

组合管理

SS13的R43 Fintech in Investment Management

CFAII级:

数量

SS3的R6 Fintech in Investment Management

SS3的R8 Multiple Regression and Machine Learning的section7

2019CFAFintech六大板块

Section1 Concept of and areas of fintech

Section2 Big data

Section3 Artificial intelligence, and machine learning

Section4 Data science

Section5 Applications of fintech to investment management

Section6 DLT

Fintech十大考点

1. What is fintech?

Fintech refers to technological innovation in the design and

delivery of financial services and products.

(Fintech是金融Finance与科技technology结合下的产物。不仅仅被量化投资者所喜爱,连基本面分析者也在将这些工具应用于投资决策当中。此外,它还影响了投资顾问服务和财务记录保管,逐渐改变着金融行业提供服务的方式。)

2. Which areas of fintech are more relevant to the investment industry?

Analysis of large datasets;

Analytical tools, Automated trading;

Rebo-advisers,Financial record keeping.

(Fintech覆盖的领域主要包括:大型数据集分析、以人工智能为例的分析工具、自动交易、智能顾问以及财务记录保管。)

3. The characteristics of big data →3V

4. Sources of alternative data

5.What is artificial intelligence and machine learning (ML)?

AI computer systems are capable of performing tasks that traditionally required human intelligence at levels comparable (or superior) to those of human beings;

ML computer programs are able to “learn” how to complete tasks, improving their performance over time with experience.Including supervised and unsupervised learning.

(人工智能技术的目标是使计算机系统表现出与人类相当、或是优于人类的认知能力和决策能力。而机器学习最初是人工智能的一小部分,这部分着重介绍了机器学习的两个类型:监督学习和无监督学习,由此可见机器学习的重要性。)

6.Data processing methods

Capture→ curation→ storage→search→ transfer

Fintech在投资管理中的一些应用分别是文本分析与自然语言处理(NLP),智能顾问,风险分析和算法交易。

7.Natural language processing (NLP) and rebo-advisory

NLP is an application of text analytics that uses insight into the structure of human language to analyze and interpret text- and voice-based data.

Rebo-advisory services are providing automated advisory services to increasing number of retail investors.

8. Algorithmic trader and high-frequent trading

Algorithmic traders use automated trading program to determine when, where, and how to trade on order on the basis of pre-specified rules and market conditions, benefits include speed of executions, lower trading costs, and anonymity.

HFT is a form of algorithmic trading that makes use of vast quantities of granular financial data to automatically place trades when certain conditions are met.

我们耳熟能详的“区块链”一词本身就是一种分布式账本技术。这部分的内容分成两点:无需授权网络与需授权网络,以及在投资管理中的应用。无需授权网络的典型例子“比特币”又是大家如雷贯耳的,这就是分布式账本技术的应用之一:加密货币。

A distributed ledger is a type of database that may be shared among entities in a network. Basic elements of a DTL network include a digital ledger, a consensus mechanism used to confirm new entries, and a participant network.

10. Application of DTL to investment applications

Blockchain and DTL may offer a new way to store, record, and track financial assets on a secure, distributed basis. DLT may bring efficiencies to post-trade and compliance processes through automation, smart contracts and identity verification.

怎么考

总的来说,这些知识点考察都是定性的内容,即对名词的理解以及它们的一些性质,LOS的要求全部是“describe”。

没有数字及复杂的公式,所以难度系数不会太高,大家只要熟悉掌握Fintech和Machine Learning相关的概念,顺利应对这部分的考题绝对不成问题。



证凯网校温馨提醒:

  同学们~2019年CFA备考已经开始,为了方便各位学员能更加系统地掌握考试大纲和重点知识,帮助大家充分备考,体验实战,证凯网校开通了全免费的CFA题库(包括精题真题和全真模考系统),题库里附有详细的答案解析,学员可以通过多种题型提高做题能力。戳这里进入CFA免费题库>>>

点击“2019证凯校园精英实验班”了解相关咨讯,更有免费开课、考后付款等会员福利在等你!

CFA考试交流微信平台:zkall_finance

扫一扫更有免费资料获取






关于证凯| 市场合作| 证凯部落| 免责条款| 快捷支付| 联系我们| 证凯招聘
CopyRight © 2014-2019 zkall.com All Rights Reserved. 证凯财经 版权所有
证凯财经 - 引领财经教育新时代 

邮箱:postmaster@zkall.com

沪ICP备15000451号-1